Thanks to artificial intelligence, it is feasible to evaluate data in a manner that wasn't conceivable. Statistical analysis and performance optimization based on data are also part of this process. In today's ultra-competitive environment, a company needs the most up-to-date technologies to have the most possibilities and the best decision-making ability possible. In many countries, soccer is more than just a sport since it creates a trip of emotions for its enthusiasts.
Applications for evaluating athletic performance make use of AI capabilities and methodologies. These tools may automatically analyze playing strategy to provide real-time, exact feedback that can help players improve their performance and decision-making.
Biomechanics sensors are used to create 3D representations of athletes' movements. A visual representation of game data reveals how players perform rather than how they rank. It is common practice to utilize traditional sports analytics to offer information such as shots taken or compare players' performance and statistics. Still, the application of deep learning algorithms breaks down athletes' decision-making capabilities. With it, coaches and teams have a real-time tool for evaluating defensive athletes' performance in any game setting.